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Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica
Because errors at the DNA level power pathogen evolution, a systematic understanding of the rate and molecular spectra of mutations could guide the avoidance and treatment of infectious diseases. We thus accumulated tens of thousands of spontaneous mutations in 768 repeatedly bottlenecked lineages o...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040049/ https://www.ncbi.nlm.nih.gov/pubmed/35446958 http://dx.doi.org/10.1093/molbev/msac081 |
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author | Pan, Jiao Li, Weiyi Ni, Jiahao Wu, Kun Konigsberg, Iain Rivera, Caitlyn E. Tincher, Clayton Gregory, Colin Zhou, Xia Doak, Thomas G. Lee, Heewook Wang, Yan Gao, Xiang Lynch, Michael Long, Hongan |
author_facet | Pan, Jiao Li, Weiyi Ni, Jiahao Wu, Kun Konigsberg, Iain Rivera, Caitlyn E. Tincher, Clayton Gregory, Colin Zhou, Xia Doak, Thomas G. Lee, Heewook Wang, Yan Gao, Xiang Lynch, Michael Long, Hongan |
author_sort | Pan, Jiao |
collection | PubMed |
description | Because errors at the DNA level power pathogen evolution, a systematic understanding of the rate and molecular spectra of mutations could guide the avoidance and treatment of infectious diseases. We thus accumulated tens of thousands of spontaneous mutations in 768 repeatedly bottlenecked lineages of 18 strains from various geographical sites, temporal spread, and genetic backgrounds. Entailing over ∼1.36 million generations, the resultant data yield an average mutation rate of ∼0.0005 per genome per generation, with a significant within-species variation. This is one of the lowest bacterial mutation rates reported, giving direct support for a high genome stability in this pathogen resulting from high DNA-mismatch-repair efficiency and replication-machinery fidelity. Pathogenicity genes do not exhibit an accelerated mutation rate, and thus, elevated mutation rates may not be the major determinant for the diversification of toxin and secretion systems. Intriguingly, a low error rate at the transcript level is not observed, suggesting distinct fidelity of the replication and transcription machinery. This study urges more attention on the most basic evolutionary processes of even the best-known human pathogens and deepens the understanding of their genome evolution. |
format | Online Article Text |
id | pubmed-9040049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-90400492022-04-27 Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica Pan, Jiao Li, Weiyi Ni, Jiahao Wu, Kun Konigsberg, Iain Rivera, Caitlyn E. Tincher, Clayton Gregory, Colin Zhou, Xia Doak, Thomas G. Lee, Heewook Wang, Yan Gao, Xiang Lynch, Michael Long, Hongan Mol Biol Evol Discoveries Because errors at the DNA level power pathogen evolution, a systematic understanding of the rate and molecular spectra of mutations could guide the avoidance and treatment of infectious diseases. We thus accumulated tens of thousands of spontaneous mutations in 768 repeatedly bottlenecked lineages of 18 strains from various geographical sites, temporal spread, and genetic backgrounds. Entailing over ∼1.36 million generations, the resultant data yield an average mutation rate of ∼0.0005 per genome per generation, with a significant within-species variation. This is one of the lowest bacterial mutation rates reported, giving direct support for a high genome stability in this pathogen resulting from high DNA-mismatch-repair efficiency and replication-machinery fidelity. Pathogenicity genes do not exhibit an accelerated mutation rate, and thus, elevated mutation rates may not be the major determinant for the diversification of toxin and secretion systems. Intriguingly, a low error rate at the transcript level is not observed, suggesting distinct fidelity of the replication and transcription machinery. This study urges more attention on the most basic evolutionary processes of even the best-known human pathogens and deepens the understanding of their genome evolution. Oxford University Press 2022-04-21 /pmc/articles/PMC9040049/ /pubmed/35446958 http://dx.doi.org/10.1093/molbev/msac081 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Discoveries Pan, Jiao Li, Weiyi Ni, Jiahao Wu, Kun Konigsberg, Iain Rivera, Caitlyn E. Tincher, Clayton Gregory, Colin Zhou, Xia Doak, Thomas G. Lee, Heewook Wang, Yan Gao, Xiang Lynch, Michael Long, Hongan Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica |
title | Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica |
title_full | Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica |
title_fullStr | Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica |
title_full_unstemmed | Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica |
title_short | Rates of Mutations and Transcript Errors in the Foodborne Pathogen Salmonella enterica subsp. enterica |
title_sort | rates of mutations and transcript errors in the foodborne pathogen salmonella enterica subsp. enterica |
topic | Discoveries |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040049/ https://www.ncbi.nlm.nih.gov/pubmed/35446958 http://dx.doi.org/10.1093/molbev/msac081 |
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